BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
GalacticAbacus
Obsidian | Level 7

Hello, I was doing a distribution analysis on a single variable. In this particular analysis, the null values as % of total was rather important, however due to calculation balancing, some of my null values went to zero. For the purpose of this study, all zero values are essentially null, however SAS does not see them as such and they get lumped in with my "values" when kicking out useful stats.

In looking around for a solution is seems most people are concerned with going from null to zero and not from zero to null. What is the most efficient way to transform my zero values to "missing"?

TS

1 ACCEPTED SOLUTION

Accepted Solutions
ballardw
Super User

In a datastep:

data want;

      set have;

     if var=0 then var=.;

run;

I would tend to create a new variable though in case I need the original values.

View solution in original post

1 REPLY 1
ballardw
Super User

In a datastep:

data want;

      set have;

     if var=0 then var=.;

run;

I would tend to create a new variable though in case I need the original values.

SAS Innovate 2025: Save the Date

 SAS Innovate 2025 is scheduled for May 6-9 in Orlando, FL. Sign up to be first to learn about the agenda and registration!

Save the date!

How to Concatenate Values

Learn how use the CAT functions in SAS to join values from multiple variables into a single value.

Find more tutorials on the SAS Users YouTube channel.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 1 reply
  • 1530 views
  • 0 likes
  • 2 in conversation